FaridKhan Posted March 8, 2023 Report Share Posted March 8, 2023 Conn A. Introduction to Derivative-Free Optimization 2009Conn A. Introduction to Derivative-Free Optimization 2009Info:Title: Introduction to Derivative-Free OptimizationPages: 289Author: Andrew R. ConnLanguage: EnglishYear: 2009Subjects: Category: Linear Programming, Statistics, Probability & StatisticsPublisher: Society for Industrial and Applied MathematicsISBN: 978-0898716689Description:The absence of derivatives, often combined with the presence of noise or lack of smoothness, is a major challenge for optimization. This book explains how sampling and model techniques are used in derivative-free methods and how these methods are designed to efficiently and rigorously solve optimization problems. Although readily accessible to readers with a modest background in computational mathematics, it is also intended to be of interest to researchers in the field. Introduction to Derivative-Free Optimization is the first contemporary comprehensive treatment of optimization without derivatives. This book covers most of the relevant classes of algorithms from direct search to model-based approaches. It contains a comprehensive description of the sampling and modeling tools needed for derivative-free optimization; these tools allow the reader to better analyze the convergent properties of the algorithms and identify their differences and similarities.Files:Conn A. Introduction to Derivative Free Optimization 2009.pdf (1.66 MB)Turbobit Link(s)https://turbobit.net/u28oh8e7ijbx/Conn_A._Introduction_to_Derivative_Free_Optimization_2009.rar.htmlNitroFlare Link(s)https://nitroflare.com/view/3824C00E556F450/Conn_A._Introduction_to_Derivative_Free_Optimization_2009.rarRapidGator Link(s)https://rapidgator.net/file/4847b55ba149226987a7da2001f87bc7/Conn_A._Introduction_to_Derivative_Free_Optimization_2009.rar Link to comment Share on other sites More sharing options...
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